A spectrum for estimating the maximum control force for passive-base-isolated buildings with LQR control

Chen, Yinli; Miyamoto, Kou; She, Jinhua

doi:10.1016/j.engstruct.2019.109600

Cited by 22 publications

(10 citation statements)

References 17 publications

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“…Due to the randomness of the ground motion, however, base-isolated structure with traditional passive dampers is difficult to maintain optimal performance throughout the lifecycle as the damping features of the dampers are fixed [8,12,13]. To solve the nonadjustable problem of the passive control dampers, semi-active control devices, such as electronic servo-valve hydraulic dampers [14,15], piezoelectric friction dampers [16], and MR dampers [17][18][19], have been developed and received a great deal of attention in recent years. Semi-active control combines the advantages of passive and active control.…”

Section: Introductionmentioning

confidence: 99%

A frequency-dependent variable-damping control based variable-orifice damper for smart base-isolation system

Li¹,

Wen²,

Shi³

et al. 2022

Smart Mater. Struct.

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Damping devices are commonly used in the isolation layer of base-isolated structures to provide additional damping to control the structural responses. Normally, large damping for the isolation layer is useful to minimize the resonance effect under low-frequency ground motions, and small damping is preferred to reduce the structural responses under high-frequency ground motions. Traditional passive dampers are widely adopted in engineering practice. Due to the fixed damping characteristic, however, the performance of base-isolated structures with passive dampers cannot stay optimal under ground motions with different frequency characteristics. To realize an optimal control of base-isolated structures, semi-active control has been increasingly valued for its efficiency and intelligence to adjust the damping characteristics based on feedback information from the structure and ground motion. However, a large number of sensors and hardware components are required for semi-active control, which makes the system complex and costly. In this paper, a variable-orifice damper (VOD) for smart base-isolation system is proposed. The VOD can adaptably adjust its damping according to the frequency of the ground motion without additional power or sensors. Theoretical analysis and sinusoidal excitation tests were carried out to investigate the behavior of VOD. A series of numerical simulations of a base‐isolated structure equipped with the proposed VOD and subjected to ground motions are also conducted. A semi-active control with ON-OFF strategy, and two passive controls (passive-on and passive-off) are conducted for comparison. The simulation results show that the VOD can result in an optimal control under ground motions with different frequency characteristics.

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Section: Introductionmentioning

confidence: 99%

A frequency-dependent variable-damping control based variable-orifice damper for smart base-isolation system

Li¹,

Wen²,

Shi³

et al. 2022

Smart Mater. Struct.

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“…[21] presented a digital dual-mode linear LQR with feed-forward optimal controller for nonminimum phase boost converters. [22] designed the combination of passivebase-isolated (PBI) and active structural control (ASC) by using the LQR. However, the approach requires complex calculation, especially in high-complexity systems, and it is difficult and requires time to solve the mathematical model.…”

Section: Introductionmentioning

confidence: 99%

Novel D-SLP Controller Design for Nonlinear Feedback Control

et al. 2020

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Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm is the combination of the dragonfly algorithm (DA) and swarm learning process (SLP) algorithm by applying the DA to the learning process of the SLP algorithm. Furthermore, the estimation of the nonlinear term by using gradient descent is proposed in the process of the D-SLP algorithm. The learning rate is adjusted according to the stable learning rate, which is derived according to the Lyapunov stability theorem. To show the superior performance and robustness of the proposed control method, it is compared with the simulation of designing the controller based on a permanent magnet synchronous motor (PMSM) control system with the online autotuning parameter of a PID controller and LQR controller with two case studies. The conventional SLP algorithm and DA are used to autotune the PID controller, while an artificial bee colony algorithm and a flower pollination algorithm (ABC-FPA) autotune the LQR controller. From the simulation results, the proposed control method can provide a better response than the other control method. Additionally, the global convergence of the D-SLP algorithm is analyzed according to Markov chain modeling and proved to correspond with the policy of global convergence for stochastic search algorithms.

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“…Selection of weighting matrices for minimizing the performance index is very important and requires trial and error. In other words, these weighting matrices have affected the vibration characteristics of the control system that are still unclear (Sato et al, 2019). Also, the weighting matrices in a performance index provide a large degree of freedom in design (Miyamoto et al, 2018b).…”

Section: Introductionmentioning

confidence: 99%

A novel approach of active control of structures based on the critically damped condition

Rashidi

Khanlari

Zarfam

et al. 2020

Journal of Vibration and Control

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In this research, the active control of structures based on the critically damped condition was proposed for reducing displacements and drifts of structures under seismic loading. In this approach, the second-order dynamic equation is converted into a first-order dynamic equation and a first-order derivative operator with the same constants, which satisfy critically damped conditions of the system. Based on this concept and using the defined performance index, the feedback gain matrix of the structural velocity is obtained. In the method of active control of structures based on the critically damped condition, the control force, which is the linear definition of the feedback gain matrix and the structural velocity, is exerted on the structure in each time step. Four types of numerical examples are examined to the comparison verification of active control of structures based on the critically damped condition with the classical linear optimal control, standard model predictive control, and other methods proposed in several references. Programming and calculations are done by Mathcad prime mathematical software.

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A spectrum for estimating the maximum control force for passive-base-isolated buildings with LQR control

Cited by 22 publications

References 17 publications

A frequency-dependent variable-damping control based variable-orifice damper for smart base-isolation system

A frequency-dependent variable-damping control based variable-orifice damper for smart base-isolation system

Novel D-SLP Controller Design for Nonlinear Feedback Control

A novel approach of active control of structures based on the critically damped condition

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